Notfallradiologie
Published in Der Radiologe
Published in Der Radiologe
Published in Der Radiologe
Magnetic resonance (MR) arthrography is a sensitive examination technique. In this institute the majority of MR arthrography examinations are carried out on the shoulder (57 %), followed by hand (24 %) and hip joints (16 %). The use of MR arthrography is superior to native MR imaging (MRI) particularly for detection of partial thickness tendon tear...
Published in Der Radiologe
Sudden chest pain and sudden abdominal pain are among the most common reasons that lead patients to the emergency room. The heterogeneous field of possible, sometimes serious diagnoses requires a structured and rapid interdisciplinary clarification in order to be able to promptly provide patients with an adequate therapy. Knowing the "usual suspect...
Published in Der Radiologe
Published in Der Radiologe
Published in Der Radiologe
Benign bone tumors are frequently discovered as incidental findings, whereas malignant tumors and metastases often become clinically noticeable due to pain or swelling. The initial radiological diagnostics by conventional X‑ray imaging, magnetic resonance imaging (MRI) and computed tomography (CT) play an important role in the assessment of dignity...
Published in Der Radiologe
Published in Der Radiologe
Trotz moderner digitaler Schnittbildverfahren ist die Orthopantomographie unverändert die breit verfügbare, häufig angewandte Basisuntersuchungsmodalität zur Beurteilung des Zahnstatus vor umfangreichen Therapien wie auch entzündlicher und tumoröser odontogen-ossärer Pathologien. Das klassische Röntgentomographieprinzip wurde für die Darstellung de...
Published in Der Radiologe
The reproducible and exhaustive extraction of information from radiological images is a central task in the practice of radiology. Dynamic developments in the fields of artificial intelligence (AI) and machine learning are introducing new methods for this task. Radiomics is one such method and offers new opportunities and challenges for the future ...
Published in Der Radiologe
Machine learning (ML) algorithms have an increasingly relevant role in radiology tackling tasks such as the automatic detection and segmentation of diagnosis-relevant markers, the quantification of progression and response, and their prediction in individual patients. ML algorithms are relevant for all image acquisition techniques from computed tom...